In this section, we introduce the basic ingredients that go into our calculation. In sec:SR, we review the definition of reflected entropy and its Rényi generalization. In sec:RTN, we review the construction of random tensor networks which will be the setting for our main calculations. In sec:SRRTN, we review the replica trick calculation for reflected entropy, originally discussed in Ref. [1]}. While their discussion was in the gravitational context, we rephrase it in terms of the random tensor network which have analogous features. This then leads us to sec:saddle, where we attempt to calculate the reflected entropy using a naive saddle point approximation. This works in certain regimes, but isn't a completely satisfactory solution in the entire parameter space. We point out various issues with the calculation, which will then be resolved in sec:singletensor.
